Building intelligent agents to handle complex, real-world tasks can be daunting. Additionally, rather than relying solely on large, pre-trained foundation models, organizations often need to fine-tune and customize smaller, more specialized models to outperform them for their specific use cases. The AWS AI League provides...
This post is cowritten with Sangeetha Bharath and Seemal Zaman from Visa.
Across every industry, agentic AI is redefining how work gets done by shifting digital experiences from manual, user-driven interactions to autonomous, outcome-driven workflows. Unlike traditional AI systems that merely answer questions or provide...
Predictive maintenance is a strategy that uses data from equipment sensors and advanced analytics to predict when a machine is likely to fail, ensuring maintenance can be performed proactively to prevent breakdowns. This enables industries to reduce unexpected failures, improve operational efficiency, and extend the lifespan...
Extracting structured information from unstructured data is a critical first step to unlocking business value. Our Generative AI Intelligent Document Processing (GenAI IDP) Accelerator has been at the forefront of this transformation, already having processed tens of millions of documents for hundreds of customers.
Although...
Mistral AI’s Voxtral models combine text and audio processing capabilities in a single framework. The Voxtral family includes two distinct variants designed for different use cases and resource requirements. The Voxtral-Mini-3B-2507 is a compact 3-billion-parameter model optimized for efficient audio transcription and basic multimodal...
As organizations scale their generative AI implementations, the critical challenge of balancing quality, cost, and latency becomes increasingly complex. With inference costs dominating 70–90% of large language model (LLM) operational expenses, and verbose prompting strategies inflating token volume by 3–5x, organizations are actively seeking...
